A Review of Probabilistic Techniques Used for Web browsers’ Caching

Abdul Sattar Kakar and Muhammad Sadiq Rohie
Additional contact information
Abdul Sattar Kakar: Department of Information Systems, Faculty of Computer Science, Kandahar University, Afghanistan
Muhammad Sadiq Rohie: Department of Information Systems, Faculty of Computer Science, Kandahar University, Afghanistan

European Journal of Engineering and Technology Research, 2020, vol. 5, issue 7, 773-780

Abstract: Cache memory plays a central role in improving the performance of web servers, especially for big data transmission, which response time is constrained. It is necessary to use an effective method, such as web cache. Browsers' cache has a significant role according to less bandwidth use, response time and traffic load as well as beneficial if the internet connection is slow. Due to the space limitations, modern browsers companies attempt to use a method to store a great number of web objects and to advance the effectiveness of web browsers. Many scientists have been working to discover and recommend various techniques for this purpose. This study consequently reviews the recent likelihood probabilistic methods, to figure out how browsers store web objects in their caches, and which methods are used to load more speedily and to store a great number of web objects. The comparison between numerous browsers performed to pick and recommend the utmost one for usage. The result has shown that each browser using RI (Ratio Improvement) has powerful performance; to be discussed later. It has proposed using Google Chrome browser because web objects are placed in its cache through the RI technique that correlated with browsers' effectiveness.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61976 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61976/12447 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:7:id:61976

DOI: 10.24018/ejeng.2020.5.7.1976

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().